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Condition: New.
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Ensemble Selection for Cancer Diagnosis: A Novel Ensemble Selection Algorithm for Cancer Diagnosis Using Microarray Datasets
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659467448 ISBN 13: 9783659467448
Condition: New.
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Ensemble Selection For Cancer Diagnosis: A Novel Ensemble Selection Algorithm For Cancer Diagnosis Using Microarray Datasets
Language: English
Published by Lap Lambert Academic Publishing, 2013
ISBN 10: 3659467448 ISBN 13: 9783659467448
Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
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Ensemble Selection For Cancer Diagnosis: A Novel Ensemble Selection Algorithm For Cancer Diagnosis Using Microarray Datasets
Language: English
Published by Lap Lambert Academic Publishing, 2013
ISBN 10: 3659467448 ISBN 13: 9783659467448
Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2014 in the subject Mathematics - Statistics, grade: 3.8, , language: English, abstract: Remote homology detection is the problem of detecting homology in cases of low sequence similarity. It is a hard computational problem with no approach that works well in all cases. Methods based on profile hidden Markov models (HMM) often exhibit relatively higher sensitivity for detecting remote homologies than commonly used approaches. However, calculating similarity scores in profile HMM methods is computationally intensive as they use dynamic programming algorithms. In this paper, we introduce SHsearch: a new method for remote protein homology detection. Our method is implemented as a modification of HHsearch: a remote protein homology detection method based on comparing two profile HMMs. The motivation for modification was to reduce the run time of HHsearch significantly with minimal sensitivity loss. SHsearch focuses on comparing the important submodels of the query and database HMMs instead of comparing the complete models. Hence, SHsearch achieves a significant speedup over HHsearch with minimal loss in sensitivity. On S C O P 1.63, SHsearch achieved 88x speedup with 8.2% loss in sensitivity with respect to HHsearch at an error rate of 10%, which is deemed to be an acceptable tradeoff.
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Discovering Clusters of Arbitrary Shapes and Densities in Data Streams: A density-based and grid-based approach to discover clusters in data streams
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846524344 ISBN 13: 9783846524343
Condition: New.
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Discovering Clusters Of Arbitrary Shapes And Densities In Data Streams: A Density-Based And Grid-Based Approach To Discover Clusters In Data Streams
Language: English
Published by Lap Lambert Academic Publishing, 2011
ISBN 10: 3846524344 ISBN 13: 9783846524343
Paperback. Condition: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.
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Discovering Clusters Of Arbitrary Shapes And Densities In Data Streams: A Density-Based And Grid-Based Approach To Discover Clusters In Data Streams
Language: English
Published by Lap Lambert Academic Publishing, 2011
ISBN 10: 3846524344 ISBN 13: 9783846524343
Paperback. Condition: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.
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SHsearch. A Method for Fast Remote Homology Detection
Language: English
Published by GRIN Verlag Okt 2017, 2017
ISBN 10: 3668534497 ISBN 13: 9783668534490
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2014 in the subject Mathematics - Statistics, grade: 3.8, , language: English, abstract: Remote homology detection is the problem of detecting homology in cases of low sequence similarity. It is a hard computational problem with no approach that works well in all cases. Methods based on profile hidden Markov models (HMM) often exhibit relatively higher sensitivity for detecting remote homologies than commonly used approaches. However, calculating similarity scores in profile HMM methods is computationally intensive as they use dynamic programming algorithms. In this paper, we introduce SHsearch: a new method for remote protein homology detection. Our method is implemented as a modification of HHsearch: a remote protein homology detection method based on comparing two profile HMMs. The motivation for modification was to reduce the run time of HHsearch significantly with minimal sensitivity loss. SHsearch focuses on comparing the important submodels of the query and database HMMs instead of comparing the complete models. Hence, SHsearch achieves a significant speedup over HHsearch with minimal loss in sensitivity. On S C O P 1.63, SHsearch achieved 88x speedup with 8.2% loss in sensitivity with respect to HHsearch at an error rate of 10%, which is deemed to be an acceptable tradeoff. 28 pp. Englisch.
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Ensemble Selection for Cancer Diagnosis: A Novel Ensemble Selection Algorithm for Cancer Diagnosis Using Microarray Datasets
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659467448 ISBN 13: 9783659467448
Condition: New. Print on Demand.
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Ensemble Selection for Cancer Diagnosis: A Novel Ensemble Selection Algorithm for Cancer Diagnosis Using Microarray Datasets
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659467448 ISBN 13: 9783659467448
Condition: New. PRINT ON DEMAND.
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Ensemble Selection for Cancer Diagnosis
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659467448 ISBN 13: 9783659467448
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gaafar MohammedMasters of Science in Bioinformatics from The Computer Science and Systems Engineering Department, Faculty of Engineering, Alexandria University & HPC System Administrator at Bibliotheca Alexanrina, Alexandria, Egypt.
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Discovering Clusters of Arbitrary Shapes and Densities in Data Streams: A density-based and grid-based approach to discover clusters in data streams
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846524344 ISBN 13: 9783846524343
Condition: New. Print on Demand.
-
Discovering Clusters of Arbitrary Shapes and Densities in Data Streams: A density-based and grid-based approach to discover clusters in data streams
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846524344 ISBN 13: 9783846524343
Condition: New. PRINT ON DEMAND.
-
Discovering Clusters of Arbitrary Shapes and Densities in Data Streams
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846524344 ISBN 13: 9783846524343
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Magdy AmrAmr Magdy has finished his M.Sc. degree in Computer and System Engineering in Alexandria University, Egypt under supervision of Prof. Dr. Nagwa M. El-Makky and Assistant Prof. Noha A. Yousri. Their research interests include.
